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Neural representation of behavioral outcomes in the orbitofrontal cortex.
Mainen ZF, Kepecs A. Mainen ZF, et al. Curr Opin Neurobiol. 2009 Feb;19(1):84-91. doi: 10.1016/j.conb.2009.03.010. Epub 2009 May 6. Curr Opin Neurobiol. 2009. PMID: 19427193 Review.
Here, we review from a computational perspective recent progress in understanding this complex function. OFC neurons appear to represent abstract outcome values, which may facilitate the comparison of options, as well as concrete outcome attributes, such as flavor or locat …
Here, we review from a computational perspective recent progress in understanding this complex function. OFC neurons appear to repres …
Reconfigurable nanophotonic silicon probes for sub-millisecond deep-brain optical stimulation.
Mohanty A, Li Q, Tadayon MA, Roberts SP, Bhatt GR, Shim E, Ji X, Cardenas J, Miller SA, Kepecs A, Lipson M. Mohanty A, et al. Among authors: kepecs a. Nat Biomed Eng. 2020 Feb;4(2):223-231. doi: 10.1038/s41551-020-0516-y. Epub 2020 Feb 12. Nat Biomed Eng. 2020. PMID: 32051578
Basic mechanisms for graded persistent activity: discrete attractors, continuous attractors, and dynamic representations.
Brody CD, Romo R, Kepecs A. Brody CD, et al. Curr Opin Neurobiol. 2003 Apr;13(2):204-11. doi: 10.1016/s0959-4388(03)00050-3. Curr Opin Neurobiol. 2003. PMID: 12744975 Review.
Persistent neural activity is observed in many systems, and is thought to be a neural substrate for holding memories over time delays of a few seconds. ...In a similar manner, theoretical models of persistent activity in spiking neurons have shown that the mo …
Persistent neural activity is observed in many systems, and is thought to be a neural substrate for holding memories over time delays …
Neural correlates, computation and behavioural impact of decision confidence.
Kepecs A, Uchida N, Zariwala HA, Mainen ZF. Kepecs A, et al. Nature. 2008 Sep 11;455(7210):227-31. doi: 10.1038/nature07200. Nature. 2008. PMID: 18690210
To understand how confidence could be computed along with the choice itself, using standard models of decision-making, we defined a simple measure that quantified the quality of the evidence contributing to a particular decision. ...We suggest that confidence estima …
To understand how confidence could be computed along with the choice itself, using standard models of decision-making, we defined a s …
From circuit motifs to computations: mapping the behavioral repertoire of cortical interneurons.
Hangya B, Pi HJ, Kvitsiani D, Ranade SP, Kepecs A. Hangya B, et al. Curr Opin Neurobiol. 2014 Jun;26:117-24. doi: 10.1016/j.conb.2014.01.007. Epub 2014 Feb 4. Curr Opin Neurobiol. 2014. PMID: 24508565 Free PMC article. Review.
The exquisite architecture of cortex incorporates a myriad of inhibitory interneuron types. Until recently, the dearth of techniques for cell type identification in awake animals has made it difficult to link interneuron activity with circuit function, computation and beha …
The exquisite architecture of cortex incorporates a myriad of inhibitory interneuron types. Until recently, the dearth of techniques …
Orbitofrontal cortex is required for optimal waiting based on decision confidence.
Lak A, Costa GM, Romberg E, Koulakov AA, Mainen ZF, Kepecs A. Lak A, et al. Neuron. 2014 Oct 1;84(1):190-201. doi: 10.1016/j.neuron.2014.08.039. Epub 2014 Sep 18. Neuron. 2014. PMID: 25242219 Free PMC article.
Confidence judgments are a central example of metacognition-knowledge about one's own cognitive processes. According to this metacognitive view, confidence reports are generated by a second-order monitoring process based on the quality of internal representations ab …
Confidence judgments are a central example of metacognition-knowledge about one's own cognitive processes. According to this metacogn …
Confidence and certainty: distinct probabilistic quantities for different goals.
Pouget A, Drugowitsch J, Kepecs A. Pouget A, et al. Nat Neurosci. 2016 Mar;19(3):366-74. doi: 10.1038/nn.4240. Nat Neurosci. 2016. PMID: 26906503 Free PMC article.
Specifically, we propose that confidence should be defined as the probability that a decision or a proposition, overt or covert, is correct given the evidence, a critical quantity in complex sequential decisions. ...
Specifically, we propose that confidence should be defined as the probability that a decision or a proposition, overt or cover …
Demixed principal component analysis of neural population data.
Kobak D, Brendel W, Constantinidis C, Feierstein CE, Kepecs A, Mainen ZF, Qi XL, Romo R, Uchida N, Machens CK. Kobak D, et al. Elife. 2016 Apr 12;5:e10989. doi: 10.7554/eLife.10989. Elife. 2016. PMID: 27067378 Free PMC article.
Here we demonstrate the advantages of a new dimensionality reduction technique, demixed principal component analysis (dPCA), that decomposes population activity into a few components. ...In each case, dPCA provides a concise way of visualizing the data that s …
Here we demonstrate the advantages of a new dimensionality reduction technique, demixed principal component analysis (dPCA), that dec …
Midbrain Dopamine Neurons Signal Belief in Choice Accuracy during a Perceptual Decision.
Lak A, Nomoto K, Keramati M, Sakagami M, Kepecs A. Lak A, et al. Curr Biol. 2017 Mar 20;27(6):821-832. doi: 10.1016/j.cub.2017.02.026. Epub 2017 Mar 9. Curr Biol. 2017. PMID: 28285994 Free PMC article.
The accuracy of such predictions is honed by a teaching signal that indicates how incorrect a prediction was ("reward prediction error," RPE). ...To cope with uncertainty, we extended a reinforcement learning model with a belief state about the percept …
The accuracy of such predictions is honed by a teaching signal that indicates how incorrect a prediction was ("reward predicti …
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